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8573fc8
feat(pkg-py): add interactive artifact generation
cpsievert Aug 19, 2026
77f6724
refactor: persist artifacts through chat history
cpsievert Aug 19, 2026
36ce2b6
test: update artifact persistence expectations
cpsievert Aug 19, 2026
f688b50
Simplify artifact revision state
cpsievert Aug 19, 2026
254c72d
Merge branch 'feat/artifact-latest-only' into feat/artifact-feature
cpsievert Aug 20, 2026
7c59b6f
refactor(pkg-py): remove redundant artifact state
cpsievert Aug 20, 2026
16e1dfd
refactor(pkg-py): require artifact language selection
cpsievert Aug 20, 2026
2bb13fb
test(pkg-py): remove exploratory artifact browser suite
cpsievert Aug 20, 2026
2d0e3bf
perf(pkg-py): stream artifact source deltas
cpsievert Aug 20, 2026
e034829
fix(pkg-py): default artifact language to Python
cpsievert Aug 20, 2026
c7c8b18
test(pkg-py): simplify artifact coverage
cpsievert Aug 20, 2026
d0217ab
refactor: rename artifact feature to handoff
cpsievert Aug 20, 2026
d154258
fix(handoff): preserve SQL source fidelity
cpsievert Aug 20, 2026
7f3c85a
fix(pkg-py): handle non-finite gallery floats
cpsievert Aug 20, 2026
2900fa3
fix(handoff): preserve bundles on generation failure
cpsievert Aug 20, 2026
bccdac7
fix(handoff): enable downloads after commit
cpsievert Aug 20, 2026
98c78c9
fix(py): package handoff language icons
cpsievert Aug 20, 2026
49f5019
fix(handoff): ignore post-commit view failure
cpsievert Aug 20, 2026
1fe3392
fix(py): normalize R handoff icon line endings
cpsievert Aug 20, 2026
9ed3709
ci: cover all shared asset paths
cpsievert Aug 20, 2026
6a8d17f
ci: align shared asset filters
cpsievert Aug 20, 2026
8de0747
refactor(py): replace handoff tool with prompt guidance
cpsievert Aug 20, 2026
7a1bbec
refactor(py): remove obsolete handoff callback
cpsievert Aug 20, 2026
0a25e50
fix(handoff): persist metadata in Shiny bookmarks
cpsievert Aug 20, 2026
99e5afe
fix(handoff): clarify state restore errors
cpsievert Aug 20, 2026
4c04fb6
feat(handoff): externalize oversized dataframe bundles
cpsievert Aug 20, 2026
7cf7d41
fix(handoff): clarify external data requirements
cpsievert Aug 20, 2026
85de2e6
feat(handoff): define external data correction prompt
cpsievert Aug 20, 2026
3a5c7ba
test(handoff): strengthen correction prompt contract
cpsievert Aug 20, 2026
ad5def0
fix(handoff): harden external correction prompt
cpsievert Aug 20, 2026
30b7359
feat(handoff): repair oversized data access
cpsievert Aug 20, 2026
0618960
fix(handoff): normalize correction contract errors
cpsievert Aug 20, 2026
c987894
fix(handoff): preserve unrelated correction errors
cpsievert Aug 20, 2026
6103a3d
fix(handoff): make correction transactions cancellation-safe
cpsievert Aug 20, 2026
c3482de
test(handoff): add required language to module fixture
cpsievert Aug 20, 2026
9649fc3
chore: preserve handoff UI updates
cpsievert Aug 20, 2026
97dea4d
test(py): isolate handoff Shiny servers
cpsievert Aug 20, 2026
91e1a2d
fix(handoff): preserve export failures on overflow
cpsievert Aug 21, 2026
49d22cf
feat(r): add the /handoff workflow
cpsievert Aug 21, 2026
cce2ecb
Merge feat/handoff-r-port: bring the /handoff workflow to R
cpsievert Aug 25, 2026
52d1d9e
fix(r): address handoff port merge review findings
cpsievert Aug 25, 2026
0418da3
Merge remote-tracking branch 'origin/main' into fix/handoff-json-tool…
cpsievert Aug 25, 2026
a57f656
fix(r): adapt handoff gallery to JSON-string query tool values
cpsievert Aug 25, 2026
d728269
Merge remote-tracking branch 'origin/main' into feat/artifact-feature
cpsievert Aug 27, 2026
8ceba29
test(pkg-py): use create_app_fixture for handoff app fixtures
cpsievert Aug 27, 2026
16db884
feat(handoff): regenerate missing data bundles lazily on download
cpsievert Aug 31, 2026
ed1d3e4
fix(r): validate handoff turn records by replay, not per-prop schema
cpsievert Aug 31, 2026
49ec04d
Depend on ellmer@main
cpsievert Sep 3, 2026
501898a
`usethis::use_tidy_description()` (GitHub Actions)
cpsievert Sep 3, 2026
e453961
Use latest shinychat and fix example app
cpsievert Sep 5, 2026
c4e0cee
ellmer is on CRAN now
cpsievert Sep 5, 2026
4f70fee
fix(handoff): isolate download handler, validate zip entry names, tid…
cpsievert Sep 5, 2026
9b2a0d5
Fix test fixtures for ellmer 0.5.0
cpsievert Sep 5, 2026
a8338cb
Require library(ggsql) in generated Quarto handoffs
cpsievert Sep 5, 2026
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Original file line number Diff line number Diff line change
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{"schema_version":1,"id":"c_001a06fd3a736a9860b934b","title":"What is the total score for the Tigers in the a...","title_source":null,"response_count":1,"created_at":"2026-09-05T04:28:59Z","updated_at":"2026-09-05T04:28:59Z","client_info":{"provider":"Anthropic","model":"claude-haiku-4-5"},"current_leaf":"n_0002","nodes":{"n_0001":{"parent":null,"children":["n_0002"],"turn_ids":[0],"selected_child":"n_0002"},"n_0002":{"parent":"n_0001","children":[],"turn_ids":[1],"selected_child":null}},"values":{"querychat_tables":{"mtcars":{"sql":null,"title":null}}},"bookmark_state_id":null}
Original file line number Diff line number Diff line change
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{"seq":0,"data":"{\"type\":\"list\",\"attributes\":{\"names\":{\"type\":\"character\",\"attributes\":{},\"value\":[\"version\",\"class\",\"props\"]}},\"value\":[{\"type\":\"double\",\"attributes\":{},\"value\":[1]},{\"type\":\"character\",\"attributes\":{},\"value\":[\"ellmer::UserTurn\"]},{\"type\":\"list\",\"attributes\":{\"names\":{\"type\":\"character\",\"attributes\":{},\"value\":[\"contents\"]}},\"value\":[{\"type\":\"list\",\"attributes\":{},\"value\":[{\"type\":\"list\",\"attributes\":{\"names\":{\"type\":\"character\",\"attributes\":{},\"value\":[\"version\",\"class\",\"props\"]}},\"value\":[{\"type\":\"double\",\"attributes\":{},\"value\":[1]},{\"type\":\"character\",\"attributes\":{},\"value\":[\"ellmer::ContentText\"]},{\"type\":\"list\",\"attributes\":{\"names\":{\"type\":\"character\",\"attributes\":{},\"value\":[\"text\"]}},\"value\":[{\"type\":\"character\",\"attributes\":{},\"value\":[\"What is the total score for the Tigers in the attached file?\"]}]}]},{\"type\":\"list\",\"attributes\":{\"names\":{\"type\":\"character\",\"attributes\":{},\"value\":[\"version\",\"class\",\"props\"]}},\"value\":[{\"type\":\"double\",\"attributes\":{},\"value\":[1]},{\"type\":\"character\",\"attributes\":{},\"value\":[\"ellmer::ContentText\"]},{\"type\":\"list\",\"attributes\":{\"names\":{\"type\":\"character\",\"attributes\":{},\"value\":[\"text\"]}},\"value\":[{\"type\":\"character\",\"attributes\":{},\"value\":[\"<file-attachment name=\\\"test-data.csv\\\" type=\\\"text/csv\\\">\\ncity,team,score\\nSpringfield,Tigers,42\\nRiverton,Bears,37\\nSpringfield,Tigers,55\\n\\n<\\/file-attachment>\"]}]}]}]}]}]}"}
{"seq":1,"data":"{\"type\":\"list\",\"attributes\":{\"names\":{\"type\":\"character\",\"attributes\":{},\"value\":[\"version\",\"class\",\"props\"]}},\"value\":[{\"type\":\"double\",\"attributes\":{},\"value\":[1]},{\"type\":\"character\",\"attributes\":{},\"value\":[\"ellmer::AssistantTurn\"]},{\"type\":\"list\",\"attributes\":{\"names\":{\"type\":\"character\",\"attributes\":{},\"value\":[\"contents\",\"json\",\"tokens\",\"cost\",\"duration\",\"finish_reason\"]}},\"value\":[{\"type\":\"list\",\"attributes\":{},\"value\":[{\"type\":\"list\",\"attributes\":{\"names\":{\"type\":\"character\",\"attributes\":{},\"value\":[\"version\",\"class\",\"props\"]}},\"value\":[{\"type\":\"double\",\"attributes\":{},\"value\":[1]},{\"type\":\"character\",\"attributes\":{},\"value\":[\"ellmer::ContentText\"]},{\"type\":\"list\",\"attributes\":{\"names\":{\"type\":\"character\",\"attributes\":{},\"value\":[\"text\"]}},\"value\":[{\"type\":\"character\",\"attributes\":{},\"value\":[\"I appreciate you sharing the file, but I should clarify that I can only query data from the DuckDB database I have access to, which contains the `mtcars` table. I'm not able to directly process uploaded CSV files or external data sources.\\n\\nHowever, I can see from your attached file that the Tigers have scores of 42 and 55 in Springfield, which would total **97 points**.\\n\\nIf you'd like me to work with this data in my database tools, you would need to:\\n1. Have the data imported into the DuckDB database I have access to, or\\n2. Let me know if there's equivalent data already in the available tables\\n\\nIs there anything else I can help you with regarding the `mtcars` dataset, or would you like to explore something different?\"]}]}]}]},{\"type\":\"list\",\"attributes\":{\"names\":{\"type\":\"character\",\"attributes\":{},\"value\":[\"model\",\"id\",\"type\",\"role\",\"content\",\"stop_reason\",\"stop_details\",\"usage\"]}},\"value\":[{\"type\":\"character\",\"attributes\":{},\"value\":[\"claude-haiku-4-5-20251001\"]},{\"type\":\"character\",\"attributes\":{},\"value\":[\"msg_011CejfMtRBii2p35m5QUYoL\"]},{\"type\":\"character\",\"attributes\":{},\"value\":[\"message\"]},{\"type\":\"character\",\"attributes\":{},\"value\":[\"assistant\"]},{\"type\":\"list\",\"attributes\":{},\"value\":[{\"type\":\"list\",\"attributes\":{\"names\":{\"type\":\"character\",\"attributes\":{},\"value\":[\"type\",\"text\"]}},\"value\":[{\"type\":\"character\",\"attributes\":{},\"value\":[\"text\"]},{\"type\":\"character\",\"attributes\":{},\"value\":[\"I appreciate you sharing the file, but I should clarify that I can only query data from the DuckDB database I have access to, which contains the `mtcars` table. I'm not able to directly process uploaded CSV files or external data sources.\\n\\nHowever, I can see from your attached file that the Tigers have scores of 42 and 55 in Springfield, which would total **97 points**.\\n\\nIf you'd like me to work with this data in my database tools, you would need to:\\n1. Have the data imported into the DuckDB database I have access to, or\\n2. Let me know if there's equivalent data already in the available tables\\n\\nIs there anything else I can help you with regarding the `mtcars` dataset, or would you like to explore something different?\"]}]}]},{\"type\":\"character\",\"attributes\":{},\"value\":[\"end_turn\"]},{\"type\":\"NULL\"},{\"type\":\"list\",\"attributes\":{\"names\":{\"type\":\"character\",\"attributes\":{},\"value\":[\"input_tokens\",\"cache_creation_input_tokens\",\"cache_read_input_tokens\",\"cache_creation\",\"output_tokens\",\"service_tier\",\"inference_geo\"]}},\"value\":[{\"type\":\"integer\",\"attributes\":{},\"value\":[3]},{\"type\":\"integer\",\"attributes\":{},\"value\":[4174]},{\"type\":\"integer\",\"attributes\":{},\"value\":[0]},{\"type\":\"list\",\"attributes\":{\"names\":{\"type\":\"character\",\"attributes\":{},\"value\":[\"ephemeral_5m_input_tokens\",\"ephemeral_1h_input_tokens\"]}},\"value\":[{\"type\":\"integer\",\"attributes\":{},\"value\":[4174]},{\"type\":\"integer\",\"attributes\":{},\"value\":[0]}]},{\"type\":\"integer\",\"attributes\":{},\"value\":[175]},{\"type\":\"character\",\"attributes\":{},\"value\":[\"standard\"]},{\"type\":\"character\",\"attributes\":{},\"value\":[\"not_available\"]}]}]},{\"type\":\"integer\",\"attributes\":{\"names\":{\"type\":\"character\",\"attributes\":{},\"value\":[\"input\",\"output\",\"cached_input\"]}},\"value\":[4177,175,0]},{\"type\":\"double\",\"attributes\":{\"class\":{\"type\":\"character\",\"attributes\":{},\"value\":[\"ellmer_dollars\",\"numeric\"]}},\"value\":[0.0060955000000000002]},{\"type\":\"double\",\"attributes\":{},\"value\":[2.4670000000000059]},{\"type\":\"character\",\"attributes\":{},\"value\":[\"success\"]}]}]}"}
Original file line number Diff line number Diff line change
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{"node_id":"n_0001","data":[{"version":1,"role":"user","segments":[{"content":"What is the total score for the Tigers in the attached file?\n\n<file-attachment name=\"test-data.csv\" type=\"text/csv\">\ncity,team,score\nSpringfield,Tigers,42\nRiverton,Bears,37\nSpringfield,Tigers,55\n\n<\/file-attachment>","content_type":"markdown"}]}]}
{"node_id":"n_0002","data":[{"version":1,"role":"assistant","segments":[{"content":"I appreciate you sharing the file, but I should clarify that I can only query data from the DuckDB database I have access to, which contains the `mtcars` table. I'm not able to directly process uploaded CSV files or external data sources.\n\nHowever, I can see from your attached file that the Tigers have scores of 42 and 55 in Springfield, which would total **97 points**.\n\nIf you'd like me to work with this data in my database tools, you would need to:\n1. Have the data imported into the DuckDB database I have access to, or\n2. Let me know if there's equivalent data already in the available tables\n\nIs there anything else I can help you with regarding the `mtcars` dataset, or would you like to explore something different?","content_type":"markdown"}]}]}
23 changes: 23 additions & 0 deletions .e2e-scratch/attach/app.R
Original file line number Diff line number Diff line change
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library(querychat)
library(shiny)
library(bslib)

qc <- QueryChat$new(
mtcars,
"mtcars",
greeting = "Ask me about mtcars. You can also attach files.",
client = "anthropic/claude-haiku-4-5"
)

ui <- page_sidebar(
title = "Attachment test",
sidebar = qc$sidebar(allow_attachments = TRUE),
DT::DTOutput("tbl")
)

server <- function(input, output, session) {
vals <- qc$server()
output$tbl <- DT::renderDT(vals$df())
}

shinyApp(ui, server)
4 changes: 4 additions & 0 deletions .e2e-scratch/attach/test-data.csv
Original file line number Diff line number Diff line change
@@ -0,0 +1,4 @@
city,team,score
Springfield,Tigers,42
Riverton,Bears,37
Springfield,Tigers,55
Original file line number Diff line number Diff line change
@@ -0,0 +1 @@
{"schema_version":1,"id":"c_001a06fcbcfdd027946de83","title":"Filter Penguins by Adelie Species","title_source":"llm","response_count":2,"created_at":"2026-09-05T04:20:27Z","updated_at":"2026-09-05T04:21:00Z","client_info":{"provider":"Anthropic","model":"claude-haiku-4-5"},"current_leaf":"n_0004","nodes":{"n_0001":{"parent":null,"children":["n_0002"],"turn_ids":[0],"selected_child":"n_0002"},"n_0002":{"parent":"n_0001","children":["n_0003"],"turn_ids":[1,2,3,4,5],"selected_child":"n_0003"},"n_0003":{"parent":"n_0002","children":["n_0004"],"turn_ids":[6],"selected_child":"n_0004"},"n_0004":{"parent":"n_0003","children":[],"turn_ids":[7,8,9],"selected_child":null}},"values":{"querychat_tables":{"penguins":{"sql":"SELECT * FROM penguins WHERE species = 'Adelie'","title":"Adelie Penguins"}}},"bookmark_state_id":"f01e5ed9d6a5854a"}

Large diffs are not rendered by default.

Original file line number Diff line number Diff line change
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{"node_id":"n_0001","data":[{"version":1,"role":"user","segments":[{"content":"Show only Adelie penguins","content_type":"markdown"}]}]}
{"node_id":"n_0002","data":[{"version":1,"role":"assistant","segments":[{"content":"I'll help you filter to show only Adelie penguins. Let me first check the schema of the penguins table.","content_type":"markdown"},{"type":"tool_request","version":1,"request_id":"toolu_01GNkEqy8Z7vYsmmm6kufTKF","tool_name":"querychat_get_schema","arguments":"{\"table_name\":\"penguins\"}","intent":null,"title":"Fetch schemas","icon":null,"grouping":null},{"type":"tool_result","version":1,"request_id":"toolu_01GNkEqy8Z7vYsmmm6kufTKF","tool_name":"querychat_get_schema","request_call":"querychat_get_schema(table_name = \"penguins\")","status":"success","title":"Fetch schemas","icon":null,"intent":null,"show_request":false,"expanded":false,"full_screen":false,"open_style":null,"footer":null,"grouping":null,"label":"penguins","value_preview":"8 columns","value":"<div class=\"table-responsive\">\n <table class=\"table table-sm table-hover align-middle mb-0\">\n <thead class=\"table-light\">\n <tr>\n <th scope=\"col\">Column<\/th>\n <th scope=\"col\">Type<\/th>\n <th scope=\"col\">Range / Values<\/th>\n <th scope=\"col\">Description<\/th>\n <th scope=\"col\">Constraints<\/th>\n <\/tr>\n <\/thead>\n <tbody>\n <tr>\n <th scope=\"row\">\n <code>species<\/code>\n <\/th>\n <td>\n <span>TEXT<\/span>\n <\/td>\n <td>'Adelie', 'Chinstrap', 'Gentoo'<\/td>\n <td><\/td>\n <td><\/td>\n <\/tr>\n <tr>\n <th scope=\"row\">\n <code>island<\/code>\n <\/th>\n <td>\n <span>TEXT<\/span>\n <\/td>\n <td>'Biscoe', 'Dream', 'Torgersen'<\/td>\n <td><\/td>\n <td><\/td>\n <\/tr>\n <tr>\n <th scope=\"row\">\n <code>bill_length_mm<\/code>\n <\/th>\n <td>\n <span>FLOAT<\/span>\n <\/td>\n <td>32.1 to 59.6<\/td>\n <td><\/td>\n <td><\/td>\n <\/tr>\n <tr>\n <th scope=\"row\">\n <code>bill_depth_mm<\/code>\n <\/th>\n <td>\n <span>FLOAT<\/span>\n <\/td>\n <td>13.1 to 21.5<\/td>\n <td><\/td>\n <td><\/td>\n <\/tr>\n <tr>\n <th scope=\"row\">\n <code>flipper_length_mm<\/code>\n <\/th>\n <td>\n <span>INTEGER<\/span>\n <\/td>\n <td>172 to 231<\/td>\n <td><\/td>\n <td><\/td>\n <\/tr>\n <tr>\n <th scope=\"row\">\n <code>body_mass_g<\/code>\n <\/th>\n <td>\n <span>INTEGER<\/span>\n <\/td>\n <td>2700 to 6300<\/td>\n <td><\/td>\n <td><\/td>\n <\/tr>\n <tr>\n <th scope=\"row\">\n <code>sex<\/code>\n <\/th>\n <td>\n <span>TEXT<\/span>\n <\/td>\n <td>'female', 'male'<\/td>\n <td><\/td>\n <td><\/td>\n <\/tr>\n <tr>\n <th scope=\"row\">\n <code>year<\/code>\n <\/th>\n <td>\n <span>INTEGER<\/span>\n <\/td>\n <td>2007 to 2009<\/td>\n <td><\/td>\n <td><\/td>\n <\/tr>\n <\/tbody>\n <\/table>\n<\/div>","value_type":"html"},{"content":"Now I'll filter the dashboard to show only Adelie penguins.","content_type":"markdown"},{"type":"tool_request","version":1,"request_id":"toolu_01Akfu2VdsTGxb8p16jwCJbk","tool_name":"querychat_update_dashboard","arguments":"{\"table\":\"penguins\",\"query\":\"SELECT * FROM penguins WHERE species = 'Adelie'\",\"title\":\"Adelie Penguins\"}","intent":null,"title":"Update Dashboard","icon":"<svg xmlns=\"http://www.w3.org/2000/svg\" width=\"16\" height=\"16\" fill=\"currentColor\" class=\"bi bi-funnel-fill\" viewBox=\"0 0 16 16\"><path d=\"M1.5 1.5A.5.5 0 0 1 2 1h12a.5.5 0 0 1 .5.5v2a.5.5 0 0 1-.128.334L10 8.692V13.5a.5.5 0 0 1-.342.474l-3 1A.5.5 0 0 1 6 14.5V8.692L1.628 3.834A.5.5 0 0 1 1.5 3.5z\"/><\/svg>","grouping":null},{"type":"tool_result","version":1,"request_id":"toolu_01Akfu2VdsTGxb8p16jwCJbk","tool_name":"querychat_update_dashboard","request_call":"querychat_update_dashboard(query = \"SELECT * FROM penguins WHERE species = 'Adelie'\", \n title = \"Adelie Penguins\", table = \"penguins\")","status":"success","title":"Adelie Penguins","icon":"<svg xmlns=\"http://www.w3.org/2000/svg\" width=\"16\" height=\"16\" fill=\"currentColor\" class=\"bi bi-funnel-fill\" viewBox=\"0 0 16 16\"><path d=\"M1.5 1.5A.5.5 0 0 1 2 1h12a.5.5 0 0 1 .5.5v2a.5.5 0 0 1-.128.334L10 8.692V13.5a.5.5 0 0 1-.342.474l-3 1A.5.5 0 0 1 6 14.5V8.692L1.628 3.834A.5.5 0 0 1 1.5 3.5z\"/><\/svg>","intent":null,"show_request":false,"expanded":true,"full_screen":false,"open_style":null,"footer":null,"grouping":null,"label":null,"value_preview":null,"value":"```sql\nSELECT * FROM penguins WHERE species = 'Adelie'\n```\n\n<button class=\"btn btn-outline-primary btn-sm float-end mt-3 querychat-update-dashboard-btn\" data-query=\"SELECT * FROM penguins WHERE species = &#39;Adelie&#39;\" data-title=\"Adelie Penguins\" data-table=\"penguins\">Apply Filter<\/button>","value_type":"markdown"},{"content":"Done! The dashboard is now filtered to show only Adelie penguins.","content_type":"markdown"}]}]}
{"node_id":"n_0003","data":[{"version":1,"role":"user","segments":[{"content":"What is the average body mass by species? Run a query to find out.","content_type":"markdown"}]}]}
{"node_id":"n_0004","data":[{"version":1,"role":"assistant","segments":[{"type":"tool_request","version":1,"request_id":"toolu_01QMFXYxm7Q7TUs5fEFL6L1D","tool_name":"querychat_query","arguments":"{\"query\":\"SELECT species, AVG(body_mass_g) AS avg_body_mass_g FROM penguins GROUP BY species ORDER BY species\",\"_intent\":\"Calculate the average body mass for each penguin species\"}","intent":"Calculate the average body mass for each penguin species","title":"Query Data","icon":"<svg xmlns=\"http://www.w3.org/2000/svg\" width=\"16\" height=\"16\" fill=\"currentColor\" class=\"bi bi-table\" viewBox=\"0 0 16 16\"><path d=\"M0 2a2 2 0 0 1 2-2h12a2 2 0 0 1 2 2v12a2 2 0 0 1-2 2H2a2 2 0 0 1-2-2zm15 2h-4v3h4zm0 4h-4v3h4zm0 4h-4v3h3a1 1 0 0 0 1-1zm-5 3v-3H6v3zm-5 0v-3H1v2a1 1 0 0 0 1 1zm-4-4h4V8H1zm0-4h4V4H1zm5-3v3h4V4zm4 4H6v3h4z\"/><\/svg>","grouping":null},{"type":"tool_result","version":1,"request_id":"toolu_01QMFXYxm7Q7TUs5fEFL6L1D","tool_name":"querychat_query","request_call":"querychat_query(query = \"SELECT species, AVG(body_mass_g) AS avg_body_mass_g FROM penguins GROUP BY species ORDER BY species\", \n `_intent` = \"Calculate the average body mass for each penguin species\")","status":"success","title":"Query Data","icon":"<svg xmlns=\"http://www.w3.org/2000/svg\" width=\"16\" height=\"16\" fill=\"currentColor\" class=\"bi bi-table\" viewBox=\"0 0 16 16\"><path d=\"M0 2a2 2 0 0 1 2-2h12a2 2 0 0 1 2 2v12a2 2 0 0 1-2 2H2a2 2 0 0 1-2-2zm15 2h-4v3h4zm0 4h-4v3h4zm0 4h-4v3h3a1 1 0 0 0 1-1zm-5 3v-3H6v3zm-5 0v-3H1v2a1 1 0 0 0 1 1zm-4-4h4V8H1zm0-4h4V4H1zm5-3v3h4V4zm4 4H6v3h4z\"/><\/svg>","intent":"Calculate the average body mass for each penguin species","show_request":false,"expanded":false,"full_screen":false,"open_style":null,"footer":null,"grouping":null,"label":null,"value_preview":null,"value":"```sql\nSELECT species, AVG(body_mass_g) AS avg_body_mass_g FROM penguins GROUP BY species ORDER BY species\n```\n\n<details open><summary>Result<\/summary>\n\n```\n species avg_body_mass_g\n1 Adelie 3700.662\n2 Chinstrap 3733.088\n3 Gentoo 5076.016\n```\n\n<\/details>","value_type":"markdown"},{"content":"Here are the average body masses by species:\n\n| Species | Average Body Mass (g) |\n|---------|----------------------|\n| Adelie | 3,700.66 |\n| Chinstrap | 3,733.09 |\n| Gentoo | 5,076.02 |\n\nGentoo penguins are noticeably heavier on average, weighing about 1,300-1,400 grams more than both Adelie and Chinstrap penguins, which have similar average body masses.","content_type":"markdown"}]}]}
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{"schema_version":1,"id":"c_001a06fc64d9b6c1c0914fb","title":"Filtering Penguins by Species Adelie","title_source":"llm","response_count":2,"created_at":"2026-09-05T04:14:22Z","updated_at":"2026-09-05T04:15:06Z","client_info":{"provider":"Anthropic","model":"claude-haiku-4-5"},"current_leaf":"n_0004","nodes":{"n_0001":{"parent":null,"children":["n_0002"],"turn_ids":[0],"selected_child":"n_0002"},"n_0002":{"parent":"n_0001","children":["n_0003"],"turn_ids":[1,2,3,4,5],"selected_child":"n_0003"},"n_0003":{"parent":"n_0002","children":["n_0004"],"turn_ids":[6],"selected_child":"n_0004"},"n_0004":{"parent":"n_0003","children":[],"turn_ids":[7,8,9],"selected_child":null}},"values":{"querychat_tables":{"penguins":{"sql":"SELECT * FROM penguins WHERE species = 'Adelie'","title":"Adelie Penguins"}}},"bookmark_state_id":null}
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